AWS CI/CD Pipeline and its use cases

AWS Code Pipeline is a hassle-free way to automate your application release process on the AWS cloud. You can define your process through visual workflows, and AWS Code Pipeline will execute those for you. This means you only have to define your pipeline once and then run it as many times as required. AWS Code Pipeline offers support for integrating with other services like Amazon EC2, Amazon ECS, and AWS Lambda.

Use Cases for CI/CD Pipeline in AWS

  • Static code analysis
  • Unit tests
  • Functional tests
  • System tests
  • Integration tests
  • UI testing
  • Sanity tests
  • Regression tests

Benefits of using AWS CI/CD Workflows

With Continuous Deployment, teams can achieve the following benefits:

Implementing CI/CD Pipeline with AWS

AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy are three separate services that can be deployed within any environment.

How to Integrate Security into CI/CD Pipeline In AWS

Many organizations are now using static code analysis tools like OWASP to regularly test the code for vulnerabilities. You can easily set up a SAST pipeline using AWS CodeBuild. CodeBuild is an AWS-managed service used to build and test the software.

CI/CD best practices in Amazon Web Service

The best practices you can follow are as follows:

  • Continuously verify your infrastructure code to ensure no security flaws are introduced in the system and allow teams to fix them faster than before.
  • Implement a continuous delivery pipeline for your applications using AWS CodePipeline, with AWS CodeBuild for building and testing.
  • Use AWS Lambda functions to run tests by adding them into CodeBuild projects or integrate with third-party tools like Sauce Labs or BlazeMeter to run performance tests on-demand or as part of your pipelines.
  • Set up notifications (e-mail/Slack) between phases so team members can respond quickly when something goes wrong in any pipeline phase.
  • Implementing CI/CD in AWS helps to improve code quality, hasten delivery, reduce human intervention, enhance collaboration and reduce integration errors.



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